Rachael Tappenden
Rachael Tappenden
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Inexact coordinate descent: complexity and preconditioning
R Tappenden, P Richtárik, J Gondzio
Journal of Optimization Theory and Applications 170 (1), 144-176, 2016
A flexible coordinate descent method
K Fountoulakis, R Tappenden
Computational Optimization and Applications 70 (2), 351-394, 2018
On the complexity of parallel coordinate descent
R Tappenden, M Takáč, P Richtárik
Optimization Methods and Software 33 (2), 372-395, 2018
Separable approximations and decomposition methods for the augmented Lagrangian
R Tappenden, P Richtárik, B Büke
Optimization Methods and Software 30 (3), 643-668, 2015
A flexible ADMM algorithm for big data applications
DP Robinson, R Tappenden
Journal of Scientific Computing 71 (1), 435-467, 2017
Preliminary experimental results from a MARS micro-CT system
P He, H Yu, P Thayer, X Jin, Q Xu, J Bennett, R Tappenden, B Wei, ...
Journal of X-ray Science and Technology 20 (2), 199-211, 2012
Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption
C Ma, R Tappenden, M Takác
Journal of Machine Learning Research 17 (230), 1-24, 2016
Determinant and exchange algorithms for observation subset selection
R Broughton, I Coope, P Renaud, R Tappenden
IEEE Transactions on Image Processing 19 (9), 2437-2443, 2010
Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences
M Jahani, NVC Gudapati, C Ma, R Tappenden, M Takáč
Computational Optimization and Applications 79 (2), 369-404, 2021
Efficient calculation of regular simplex gradients
I Coope, R Tappenden
Computational Optimization and Applications 72 (3), 561-588, 2019
A box constrained gradient projection algorithm for compressed sensing
RL Broughton, ID Coope, PF Renaud, REH Tappenden
Signal Processing 91 (8), 1985-1992, 2011
Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes
A Sadiev, E Borodich, A Beznosikov, D Dvinskikh, S Chezhegov, ...
EURO Journal on Computational Optimization 10, 100041, 2022
Sonia: A symmetric blockwise truncated optimization algorithm
M Jahani, M Nazari, R Tappenden, A Berahas, M Takác
International Conference on Artificial Intelligence and Statistics, 487-495, 2021
FLECS: A Federated Learning Second-Order Framework via Compression and Sketching
A Agafonov, D Kamzolov, R Tappenden, A Gasnikov, M Takáč
arXiv preprint arXiv:2206.02009, 2022
Gradient and diagonal Hessian approximations using quadratic interpolation models and aligned regular bases
ID Coope, R Tappenden
Numerical Algorithms 88 (2), 767-791, 2021
Stochastic gradient methods with preconditioned updates
A Sadiev, A Beznosikov, AJ Almansoori, D Kamzolov, R Tappenden, ...
Journal of Optimization Theory and Applications, 1-19, 2024
Dual Free Adaptive Minibatch SDCA for Empirical Risk Minimization
X He, R Tappenden, M Takac
Frontiers in Applied Mathematics and Statistics 4, 33, 2018
Domain specific transfer learning using image mixing and stochastic image selection
S Coup, V Vetrova, E Frank, R Tappenden
The Sixth Workshop on Fine-Grained Visual Categorization (FGVC6), Computer …, 2019
X-ray image enhancement via determinant based feature selection
R Tappenden, J Hegarty, R Broughton, A Butler, I Coope, P Renaud
Australasian Physical & Engineering Sciences in Medicine 36 (4), 449-455, 2013
On a Family of Relaxed Gradient Descent Methods for Quadratic Minimization
L MacDonald, R Murray, R Tappenden
arXiv preprint arXiv:2404.19255, 2024
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